Overview

Brought to you by YData

Dataset statistics

	Training Data	Test Data
Number of variables	12	11
Number of observations	593994	254569
Missing cells	0	0
Missing cells (%)	0.0%	0.0%
Duplicate rows	0	0
Duplicate rows (%)	0.0%	0.0%
Total size in memory	54.4 MiB	21.4 MiB
Average record size in memory	96.0 B	88.0 B

Variable types

	Training Data	Test Data
Numeric	5	5
Categorical	7	6

Alerts

Training Data	Test Data
`credit_score` is highly overall correlated with `grade_subgrade` and 1 other fields	`credit_score` is highly overall correlated with `grade_subgrade` and 1 other fields	High correlation
`employment_status` is highly overall correlated with `loan_paid_back`	Alert not present in this dataset	High correlation
`grade_subgrade` is highly overall correlated with `credit_score`	`grade_subgrade` is highly overall correlated with `credit_score`	High correlation
`interest_rate` is highly overall correlated with `credit_score`	`interest_rate` is highly overall correlated with `credit_score`	High correlation
`loan_paid_back` is highly overall correlated with `employment_status`	Alert not present in this dataset	High correlation

Reproduction

	Training Data	Test Data
Analysis started	2025-11-14 17:00:20.786996	2025-11-14 17:00:38.390723
Analysis finished	2025-11-14 17:00:38.380925	2025-11-14 17:00:45.493136
Duration	17.59 seconds	7.1 seconds
Software version	ydata-profiling vv4.17.0	ydata-profiling vv4.17.0
Download configuration	config.json	config.json

annual_income
Real number (ℝ)

	Training Data	Test Data
Distinct	119728	67287
Distinct (%)	20.2%	26.4%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	48212.203	48233.08

	Training Data	Test Data
Minimum	6002.43	6011.77
Maximum	393381.74	380653.94
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	4.5 MiB	1.9 MiB

Quantile statistics

	Training Data	Test Data
Minimum	6002.43	6011.77
5-th percentile	15450.11	15447.27
Q1	27934.4	27950.3
median	46557.68	46528.98
Q3	60981.32	61149.44
95-th percentile	93534.68	93534.48
Maximum	393381.74	380653.94
Range	387379.31	374642.17
Interquartile range (IQR)	33046.92	33199.14

Descriptive statistics

	Training Data	Test Data
Standard deviation	26711.942	26719.659
Coefficient of variation (CV)	0.5540494	0.55396957
Kurtosis	7.0914126	7.1975949
Mean	48212.203	48233.08
Median Absolute Deviation (MAD)	17068.9	17123.71
Skewness	1.7195087	1.7210527
Sum	2.8637759 × 10¹⁰	1.2278647 × 10¹⁰
Variance	7.1352785 × 10⁸	7.1394015 × 10⁸
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
51351.71	238	< 0.1%
25499.88	227	< 0.1%
24113.12	219	< 0.1%
56547.75	209	< 0.1%
26386.33	187	< 0.1%
28991.07	185	< 0.1%
16077.08	170	< 0.1%
46949.29	160	< 0.1%
53981.9	152	< 0.1%
52628.69	146	< 0.1%
Other values (119718)	592101	99.7%

Value	Count	Frequency (%)
25499.88	92	< 0.1%
51351.71	86	< 0.1%
24113.12	86	< 0.1%
56547.75	84	< 0.1%
28991.07	78	< 0.1%
16077.08	75	< 0.1%
26386.33	70	< 0.1%
52628.69	64	< 0.1%
61519.27	64	< 0.1%
51773.69	64	< 0.1%
Other values (67277)	253806	99.7%

Value	Count	Frequency (%)
6002.43	1	< 0.1%
6008.56	1	< 0.1%
6026.31	3	< 0.1%
6026.47	1	< 0.1%
6026.71	1	< 0.1%
6064.78	1	< 0.1%
6071.69	1	< 0.1%
6073.15	1	< 0.1%
6074.92	1	< 0.1%
6093.55	1	< 0.1%

Value	Count	Frequency (%)
6011.77	1	< 0.1%
6018.23	1	< 0.1%
6018.9	1	< 0.1%
6026.31	3	< 0.1%
6073.64	1	< 0.1%
6100.16	1	< 0.1%
6100.32	13	< 0.1%
6100.33	1	< 0.1%
6105.99	2	< 0.1%
6109.87	3	< 0.1%

Value	Count	Frequency (%)
6011.77	1	< 0.1%
6018.23	1	< 0.1%
6018.9	1	< 0.1%
6026.31	3	< 0.1%
6073.64	1	< 0.1%
6100.16	1	< 0.1%
6100.32	13	< 0.1%
6100.33	1	< 0.1%
6105.99	2	< 0.1%
6109.87	3	< 0.1%

Value	Count	Frequency (%)
6002.43	1	< 0.1%
6008.56	1	< 0.1%
6026.31	3	< 0.1%
6026.47	1	< 0.1%
6026.71	1	< 0.1%
6064.78	1	< 0.1%
6071.69	1	< 0.1%
6073.15	1	< 0.1%
6074.92	1	< 0.1%
6093.55	1	< 0.1%

debt_to_income_ratio
Real number (ℝ)

	Training Data	Test Data
Distinct	526	506
Distinct (%)	0.1%	0.2%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	0.12069589	0.12058304

	Training Data	Test Data
Minimum	0.011	0.011
Maximum	0.627	0.627
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	4.5 MiB	1.9 MiB

Quantile statistics

	Training Data	Test Data
Minimum	0.011	0.011
5-th percentile	0.046	0.046
Q1	0.072	0.072
median	0.096	0.096
Q3	0.156	0.156
95-th percentile	0.259	0.259
Maximum	0.627	0.627
Range	0.616	0.616
Interquartile range (IQR)	0.084	0.084

Descriptive statistics

	Training Data	Test Data
Standard deviation	0.068573259	0.06858229
Coefficient of variation (CV)	0.56814907	0.56875568
Kurtosis	2.33523	2.4084944
Mean	0.12069589	0.12058304
Median Absolute Deviation (MAD)	0.032	0.032
Skewness	1.4066799	1.4199971
Sum	71692.635	30696.704
Variance	0.0047022918	0.0047035305
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.09	11440	1.9%
0.093	11160	1.9%
0.097	9508	1.6%
0.079	9099	1.5%
0.094	8976	1.5%
0.098	8647	1.5%
0.071	8192	1.4%
0.096	7715	1.3%
0.063	7579	1.3%
0.067	7373	1.2%
Other values (516)	504305	84.9%

Value	Count	Frequency (%)
0.093	4951	1.9%
0.09	4947	1.9%
0.097	4003	1.6%
0.094	3870	1.5%
0.079	3797	1.5%
0.098	3784	1.5%
0.071	3452	1.4%
0.096	3384	1.3%
0.063	3282	1.3%
0.067	3144	1.2%
Other values (496)	215955	84.8%

Value	Count	Frequency (%)
0.011	169	< 0.1%
0.012	55	< 0.1%
0.013	127	< 0.1%
0.014	243	< 0.1%
0.015	138	< 0.1%
0.016	80	< 0.1%
0.017	205	< 0.1%
0.018	186	< 0.1%
0.019	61	< 0.1%
0.02	152	< 0.1%

Value	Count	Frequency (%)
0.011	77	< 0.1%
0.012	20	< 0.1%
0.013	61	< 0.1%
0.014	96	< 0.1%
0.015	69	< 0.1%
0.016	36	< 0.1%
0.017	109	< 0.1%
0.018	83	< 0.1%
0.019	22	< 0.1%
0.02	58	< 0.1%

Value	Count	Frequency (%)
0.011	77	< 0.1%
0.012	20	< 0.1%
0.013	61	< 0.1%
0.014	96	< 0.1%
0.015	69	< 0.1%
0.016	36	< 0.1%
0.017	109	< 0.1%
0.018	83	< 0.1%
0.019	22	< 0.1%
0.02	58	< 0.1%

Value	Count	Frequency (%)
0.011	169	0.1%
0.012	55	< 0.1%
0.013	127	< 0.1%
0.014	243	0.1%
0.015	138	0.1%
0.016	80	< 0.1%
0.017	205	0.1%
0.018	186	0.1%
0.019	61	< 0.1%
0.02	152	0.1%

credit_score
Real number (ℝ)

	Training Data	Test Data
Distinct	399	389
Distinct (%)	0.1%	0.2%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	680.91601	681.03769

	Training Data	Test Data
Minimum	395	395
Maximum	849	849
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	4.5 MiB	1.9 MiB

Quantile statistics

	Training Data	Test Data
Minimum	395	395
5-th percentile	582	582
Q1	646	646
median	682	683
Q3	719	719
95-th percentile	767	767
Maximum	849	849
Range	454	454
Interquartile range (IQR)	73	73

Descriptive statistics

	Training Data	Test Data
Standard deviation	55.424956	55.624118
Coefficient of variation (CV)	0.08139764	0.081675535
Kurtosis	0.09596164	0.10512082
Mean	680.91601	681.03769
Median Absolute Deviation (MAD)	36	36
Skewness	-0.16699288	-0.17167056
Sum	4.0446002 × 10⁸	1.7337108 × 10⁸
Variance	3071.9257	3094.0425
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
678	6526	1.1%
661	5801	1.0%
674	5793	1.0%
708	5661	1.0%
681	5635	0.9%
672	5622	0.9%
669	5618	0.9%
685	5557	0.9%
713	5544	0.9%
676	5508	0.9%
Other values (389)	536729	90.4%

Value	Count	Frequency (%)
678	2711	1.1%
672	2531	1.0%
661	2520	1.0%
669	2457	1.0%
708	2443	1.0%
681	2442	1.0%
713	2425	1.0%
674	2354	0.9%
676	2321	0.9%
688	2304	0.9%
Other values (379)	230061	90.4%

Value	Count	Frequency (%)
395	2	< 0.1%
431	1	< 0.1%
435	2	< 0.1%
437	3	< 0.1%
439	1	< 0.1%
440	1	< 0.1%
441	1	< 0.1%
445	4	< 0.1%
446	2	< 0.1%
447	2	< 0.1%

Value	Count	Frequency (%)
395	1	< 0.1%
431	1	< 0.1%
439	1	< 0.1%
442	1	< 0.1%
443	1	< 0.1%
445	3	< 0.1%
447	1	< 0.1%
449	1	< 0.1%
453	2	< 0.1%
459	1	< 0.1%

Value	Count	Frequency (%)
395	1	< 0.1%
431	1	< 0.1%
439	1	< 0.1%
442	1	< 0.1%
443	1	< 0.1%
445	3	< 0.1%
447	1	< 0.1%
449	1	< 0.1%
453	2	< 0.1%
459	1	< 0.1%

Value	Count	Frequency (%)
395	2	< 0.1%
431	1	< 0.1%
435	2	< 0.1%
437	3	< 0.1%
439	1	< 0.1%
440	1	< 0.1%
441	1	< 0.1%
445	4	< 0.1%
446	2	< 0.1%
447	2	< 0.1%

loan_amount
Real number (ℝ)

	Training Data	Test Data
Distinct	111570	65199
Distinct (%)	18.8%	25.6%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	15020.298	15016.753

	Training Data	Test Data
Minimum	500.09	500.05
Maximum	48959.95	48959.26
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	4.5 MiB	1.9 MiB

Quantile statistics

	Training Data	Test Data
Minimum	500.09	500.05
5-th percentile	3139.37	3144.66
Q1	10279.62	10248.58
median	15000.22	15000.22
Q3	18858.58	18831.46
95-th percentile	27139.83	27124.17
Maximum	48959.95	48959.26
Range	48459.86	48459.21
Interquartile range (IQR)	8578.96	8582.88

Descriptive statistics

	Training Data	Test Data
Standard deviation	6926.5306	6922.1652
Coefficient of variation (CV)	0.46114469	0.46096283
Kurtosis	-0.15014223	-0.15334262
Mean	15020.298	15016.753
Median Absolute Deviation (MAD)	4386.47	4393.43
Skewness	0.20735982	0.20573601
Sum	8.9219667 × 10⁹	3.8227999 × 10⁹
Variance	47976826	47916371
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12892.25	412	0.1%
15212.88	338	0.1%
16004.97	282	< 0.1%
1838.88	278	< 0.1%
17051.01	255	< 0.1%
15011.15	250	< 0.1%
18078.57	241	< 0.1%
12551.14	241	< 0.1%
18054.98	237	< 0.1%
8146.24	232	< 0.1%
Other values (111560)	591228	99.5%

Value	Count	Frequency (%)
12892.25	190	0.1%
16004.97	118	< 0.1%
1838.88	113	< 0.1%
18078.57	112	< 0.1%
15212.88	109	< 0.1%
17051.01	107	< 0.1%
12093.58	107	< 0.1%
15011.15	104	< 0.1%
17054.68	102	< 0.1%
12093.5	102	< 0.1%
Other values (65189)	253405	99.5%

Value	Count	Frequency (%)
500.09	1	< 0.1%
500.37	1	< 0.1%
500.91	1	< 0.1%
502.91	1	< 0.1%
507.41	1	< 0.1%
507.42	1	< 0.1%
507.46	3	< 0.1%
507.86	1	< 0.1%
508.34	1	< 0.1%
508.35	1	< 0.1%

Value	Count	Frequency (%)
500.05	1	< 0.1%
502.91	1	< 0.1%
507.46	1	< 0.1%
508.51	1	< 0.1%
508.73	1	< 0.1%
514	1	< 0.1%
514.07	1	< 0.1%
514.16	1	< 0.1%
514.4	2	< 0.1%
514.5	8	< 0.1%

Value	Count	Frequency (%)
500.05	1	< 0.1%
502.91	1	< 0.1%
507.46	1	< 0.1%
508.51	1	< 0.1%
508.73	1	< 0.1%
514	1	< 0.1%
514.07	1	< 0.1%
514.16	1	< 0.1%
514.4	2	< 0.1%
514.5	8	< 0.1%

Value	Count	Frequency (%)
500.09	1	< 0.1%
500.37	1	< 0.1%
500.91	1	< 0.1%
502.91	1	< 0.1%
507.41	1	< 0.1%
507.42	1	< 0.1%
507.46	3	< 0.1%
507.86	1	< 0.1%
508.34	1	< 0.1%
508.35	1	< 0.1%

interest_rate
Real number (ℝ)

	Training Data	Test Data
Distinct	1454	1385
Distinct (%)	0.2%	0.5%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	12.356345	12.352323

	Training Data	Test Data
Minimum	3.2	3.2
Maximum	20.99	21.29
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	4.5 MiB	1.9 MiB

Quantile statistics

	Training Data	Test Data
Minimum	3.2	3.2
5-th percentile	9.1	9.07
Q1	10.99	10.98
median	12.37	12.37
Q3	13.68	13.69
95-th percentile	15.72	15.72
Maximum	20.99	21.29
Range	17.79	18.09
Interquartile range (IQR)	2.69	2.71

Descriptive statistics

	Training Data	Test Data
Standard deviation	2.0089589	2.0176018
Coefficient of variation (CV)	0.1625852	0.16333783
Kurtosis	0.059797501	0.055029633
Mean	12.356345	12.352323
Median Absolute Deviation (MAD)	1.34	1.35
Skewness	0.049945315	0.043392647
Sum	7339594.9	3144518.6
Variance	4.0359159	4.0707169
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12.31	2638	0.4%
12.52	2436	0.4%
13.35	2415	0.4%
12.82	2406	0.4%
12.23	2362	0.4%
11.26	2318	0.4%
11.6	2236	0.4%
13.78	2222	0.4%
12.09	2215	0.4%
12.81	2209	0.4%
Other values (1444)	570537	96.1%

Value	Count	Frequency (%)
12.31	1112	0.4%
12.82	1043	0.4%
12.52	1005	0.4%
13.35	1005	0.4%
11.26	992	0.4%
12.23	985	0.4%
11.6	974	0.4%
13.78	951	0.4%
12.98	948	0.4%
12.35	931	0.4%
Other values (1375)	244623	96.1%

Value	Count	Frequency (%)
3.2	1	< 0.1%
3.32	1	< 0.1%
3.66	1	< 0.1%
3.79	1	< 0.1%
3.81	3	< 0.1%
3.83	1	< 0.1%
3.89	2	< 0.1%
3.92	1	< 0.1%
3.98	2	< 0.1%
4.01	1	< 0.1%

Value	Count	Frequency (%)
3.2	1	< 0.1%
3.79	1	< 0.1%
3.81	1	< 0.1%
3.97	1	< 0.1%
4	1	< 0.1%
4.11	1	< 0.1%
4.18	2	< 0.1%
4.28	1	< 0.1%
4.29	1	< 0.1%
4.3	1	< 0.1%

Value	Count	Frequency (%)
3.2	1	< 0.1%
3.79	1	< 0.1%
3.81	1	< 0.1%
3.97	1	< 0.1%
4	1	< 0.1%
4.11	1	< 0.1%
4.18	2	< 0.1%
4.28	1	< 0.1%
4.29	1	< 0.1%
4.3	1	< 0.1%

Value	Count	Frequency (%)
3.2	1	< 0.1%
3.32	1	< 0.1%
3.66	1	< 0.1%
3.79	1	< 0.1%
3.81	3	< 0.1%
3.83	1	< 0.1%
3.89	2	< 0.1%
3.92	1	< 0.1%
3.98	2	< 0.1%
4.01	1	< 0.1%

gender
Categorical

	Training Data	Test Data
Distinct	3	3
Distinct (%)	< 0.1%	< 0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	4.5 MiB	1.9 MiB

Female	306175
Male	284091
Other	3728

Female	131480
Male	121447
Other	1642

Length

	Training Data	Test Data
Max length	6	6
Median length	6	6
Mean length	5.0371788	5.0394117
Min length	4	4

Characters and Unicode

	Training Data	Test Data
Total characters	2992054	1282878
Distinct characters	10	10
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Training Data	Test Data
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Training Data	Test Data
1st row	Female	Female
2nd row	Male	Female
3rd row	Male	Male
4th row	Female	Female
5th row	Male	Female

Common Values

Value	Count	Frequency (%)
Female	306175	51.5%
Male	284091	47.8%
Other	3728	0.6%

Value	Count	Frequency (%)
Female	131480	51.6%
Male	121447	47.7%
Other	1642	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Training Data

Test Data

Value	Count	Frequency (%)
female	306175	51.5%
male	284091	47.8%
other	3728	0.6%

Value	Count	Frequency (%)
female	131480	51.6%
male	121447	47.7%
other	1642	0.6%

Most occurring characters

Value	Count	Frequency (%)
e	900169	30.1%
a	590266	19.7%
l	590266	19.7%
F	306175	10.2%
m	306175	10.2%
M	284091	9.5%
O	3728	0.1%
t	3728	0.1%
h	3728	0.1%
r	3728	0.1%

Value	Count	Frequency (%)
e	386049	30.1%
a	252927	19.7%
l	252927	19.7%
F	131480	10.2%
m	131480	10.2%
M	121447	9.5%
O	1642	0.1%
t	1642	0.1%
h	1642	0.1%
r	1642	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2992054	100.0%

Value	Count	Frequency (%)
(unknown)	1282878	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	900169	30.1%
a	590266	19.7%
l	590266	19.7%
F	306175	10.2%
m	306175	10.2%
M	284091	9.5%
O	3728	0.1%
t	3728	0.1%
h	3728	0.1%
r	3728	0.1%

Value	Count	Frequency (%)
e	386049	30.1%
a	252927	19.7%
l	252927	19.7%
F	131480	10.2%
m	131480	10.2%
M	121447	9.5%
O	1642	0.1%
t	1642	0.1%
h	1642	0.1%
r	1642	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2992054	100.0%

Value	Count	Frequency (%)
(unknown)	1282878	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	900169	30.1%
a	590266	19.7%
l	590266	19.7%
F	306175	10.2%
m	306175	10.2%
M	284091	9.5%
O	3728	0.1%
t	3728	0.1%
h	3728	0.1%
r	3728	0.1%

Value	Count	Frequency (%)
e	386049	30.1%
a	252927	19.7%
l	252927	19.7%
F	131480	10.2%
m	131480	10.2%
M	121447	9.5%
O	1642	0.1%
t	1642	0.1%
h	1642	0.1%
r	1642	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2992054	100.0%

Value	Count	Frequency (%)
(unknown)	1282878	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	900169	30.1%
a	590266	19.7%
l	590266	19.7%
F	306175	10.2%
m	306175	10.2%
M	284091	9.5%
O	3728	0.1%
t	3728	0.1%
h	3728	0.1%
r	3728	0.1%

Value	Count	Frequency (%)
e	386049	30.1%
a	252927	19.7%
l	252927	19.7%
F	131480	10.2%
m	131480	10.2%
M	121447	9.5%
O	1642	0.1%
t	1642	0.1%
h	1642	0.1%
r	1642	0.1%

marital_status
Categorical

	Training Data	Test Data
Distinct	4	4
Distinct (%)	< 0.1%	< 0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	4.5 MiB	1.9 MiB

Single	288843
Married	277239
Divorced	21312
Widowed	6600

Single	123686
Married	119000
Divorced	9122
Widowed	2761

Length

	Training Data	Test Data
Max length	8	8
Median length	7	7
Mean length	6.5496066	6.5499688
Min length	6	6

Characters and Unicode

	Training Data	Test Data
Total characters	3890427	1667419
Distinct characters	16	16
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Training Data	Test Data
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Training Data	Test Data
1st row	Single	Single
2nd row	Married	Married
3rd row	Single	Single
4th row	Single	Single
5th row	Married	Married

Common Values

Value	Count	Frequency (%)
Single	288843	48.6%
Married	277239	46.7%
Divorced	21312	3.6%
Widowed	6600	1.1%

Value	Count	Frequency (%)
Single	123686	48.6%
Married	119000	46.7%
Divorced	9122	3.6%
Widowed	2761	1.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Training Data

Test Data

Value	Count	Frequency (%)
single	288843	48.6%
married	277239	46.7%
divorced	21312	3.6%
widowed	6600	1.1%

Value	Count	Frequency (%)
single	123686	48.6%
married	119000	46.7%
divorced	9122	3.6%
widowed	2761	1.1%

Most occurring characters

Value	Count	Frequency (%)
i	593994	15.3%
e	593994	15.3%
r	575790	14.8%
d	311751	8.0%
g	288843	7.4%
l	288843	7.4%
n	288843	7.4%
S	288843	7.4%
a	277239	7.1%
M	277239	7.1%
Other values (6)	105048	2.7%

Value	Count	Frequency (%)
i	254569	15.3%
e	254569	15.3%
r	247122	14.8%
d	133644	8.0%
g	123686	7.4%
l	123686	7.4%
n	123686	7.4%
S	123686	7.4%
a	119000	7.1%
M	119000	7.1%
Other values (6)	44771	2.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3890427	100.0%

Value	Count	Frequency (%)
(unknown)	1667419	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	593994	15.3%
e	593994	15.3%
r	575790	14.8%
d	311751	8.0%
g	288843	7.4%
l	288843	7.4%
n	288843	7.4%
S	288843	7.4%
a	277239	7.1%
M	277239	7.1%
Other values (6)	105048	2.7%

Value	Count	Frequency (%)
i	254569	15.3%
e	254569	15.3%
r	247122	14.8%
d	133644	8.0%
g	123686	7.4%
l	123686	7.4%
n	123686	7.4%
S	123686	7.4%
a	119000	7.1%
M	119000	7.1%
Other values (6)	44771	2.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3890427	100.0%

Value	Count	Frequency (%)
(unknown)	1667419	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	593994	15.3%
e	593994	15.3%
r	575790	14.8%
d	311751	8.0%
g	288843	7.4%
l	288843	7.4%
n	288843	7.4%
S	288843	7.4%
a	277239	7.1%
M	277239	7.1%
Other values (6)	105048	2.7%

Value	Count	Frequency (%)
i	254569	15.3%
e	254569	15.3%
r	247122	14.8%
d	133644	8.0%
g	123686	7.4%
l	123686	7.4%
n	123686	7.4%
S	123686	7.4%
a	119000	7.1%
M	119000	7.1%
Other values (6)	44771	2.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3890427	100.0%

Value	Count	Frequency (%)
(unknown)	1667419	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	593994	15.3%
e	593994	15.3%
r	575790	14.8%
d	311751	8.0%
g	288843	7.4%
l	288843	7.4%
n	288843	7.4%
S	288843	7.4%
a	277239	7.1%
M	277239	7.1%
Other values (6)	105048	2.7%

Value	Count	Frequency (%)
i	254569	15.3%
e	254569	15.3%
r	247122	14.8%
d	133644	8.0%
g	123686	7.4%
l	123686	7.4%
n	123686	7.4%
S	123686	7.4%
a	119000	7.1%
M	119000	7.1%
Other values (6)	44771	2.7%

education_level
Categorical

	Training Data	Test Data
Distinct	5	5
Distinct (%)	< 0.1%	< 0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	4.5 MiB	1.9 MiB

Bachelor's	279606
High School	183592
Master's	93097
Other	26677
PhD	11022

Bachelor's	119924
High School	78687
Master's	39826
Other	11325
PhD	4807

Length

	Training Data	Test Data
Max length	11	11
Median length	10	10
Mean length	9.6411731	9.6415942
Min length	3	3

Characters and Unicode

	Training Data	Test Data
Total characters	5726799	2454451
Distinct characters	20	20
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Training Data	Test Data
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Training Data	Test Data
1st row	High School	High School
2nd row	Master's	Master's
3rd row	High School	Bachelor's
4th row	High School	Bachelor's
5th row	High School	PhD

Common Values

Value	Count	Frequency (%)
Bachelor's	279606	47.1%
High School	183592	30.9%
Master's	93097	15.7%
Other	26677	4.5%
PhD	11022	1.9%

Value	Count	Frequency (%)
Bachelor's	119924	47.1%
High School	78687	30.9%
Master's	39826	15.6%
Other	11325	4.4%
PhD	4807	1.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Training Data

Test Data

Value	Count	Frequency (%)
bachelor's	279606	36.0%
high	183592	23.6%
school	183592	23.6%
master's	93097	12.0%
other	26677	3.4%
phd	11022	1.4%

Value	Count	Frequency (%)
bachelor's	119924	36.0%
high	78687	23.6%
school	78687	23.6%
master's	39826	12.0%
other	11325	3.4%
phd	4807	1.4%

Most occurring characters

Value	Count	Frequency (%)
h	684489	12.0%
o	646790	11.3%
s	465800	8.1%
c	463198	8.1%
l	463198	8.1%
e	399380	7.0%
r	399380	7.0%
a	372703	6.5%
'	372703	6.5%
B	279606	4.9%
Other values (10)	1179552	20.6%

Value	Count	Frequency (%)
h	293430	12.0%
o	277298	11.3%
s	199576	8.1%
c	198611	8.1%
l	198611	8.1%
e	171075	7.0%
r	171075	7.0%
a	159750	6.5%
'	159750	6.5%
B	119924	4.9%
Other values (10)	505351	20.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5726799	100.0%

Value	Count	Frequency (%)
(unknown)	2454451	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
h	684489	12.0%
o	646790	11.3%
s	465800	8.1%
c	463198	8.1%
l	463198	8.1%
e	399380	7.0%
r	399380	7.0%
a	372703	6.5%
'	372703	6.5%
B	279606	4.9%
Other values (10)	1179552	20.6%

Value	Count	Frequency (%)
h	293430	12.0%
o	277298	11.3%
s	199576	8.1%
c	198611	8.1%
l	198611	8.1%
e	171075	7.0%
r	171075	7.0%
a	159750	6.5%
'	159750	6.5%
B	119924	4.9%
Other values (10)	505351	20.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5726799	100.0%

Value	Count	Frequency (%)
(unknown)	2454451	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
h	684489	12.0%
o	646790	11.3%
s	465800	8.1%
c	463198	8.1%
l	463198	8.1%
e	399380	7.0%
r	399380	7.0%
a	372703	6.5%
'	372703	6.5%
B	279606	4.9%
Other values (10)	1179552	20.6%

Value	Count	Frequency (%)
h	293430	12.0%
o	277298	11.3%
s	199576	8.1%
c	198611	8.1%
l	198611	8.1%
e	171075	7.0%
r	171075	7.0%
a	159750	6.5%
'	159750	6.5%
B	119924	4.9%
Other values (10)	505351	20.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5726799	100.0%

Value	Count	Frequency (%)
(unknown)	2454451	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
h	684489	12.0%
o	646790	11.3%
s	465800	8.1%
c	463198	8.1%
l	463198	8.1%
e	399380	7.0%
r	399380	7.0%
a	372703	6.5%
'	372703	6.5%
B	279606	4.9%
Other values (10)	1179552	20.6%

Value	Count	Frequency (%)
h	293430	12.0%
o	277298	11.3%
s	199576	8.1%
c	198611	8.1%
l	198611	8.1%
e	171075	7.0%
r	171075	7.0%
a	159750	6.5%
'	159750	6.5%
B	119924	4.9%
Other values (10)	505351	20.6%

employment_status
Categorical

	Training Data	Test Data
Distinct	5	5
Distinct (%)	< 0.1%	< 0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	4.5 MiB	1.9 MiB

Employed	450645
Unemployed	62485
Self-employed	52480
Retired	16453
Student	11931

Employed	193207
Unemployed	26715
Self-employed	22543
Retired	7060
Student	5044

Length

	Training Data	Test Data
Max length	13	13
Median length	8	8
Mean length	8.6043596	8.6051051
Min length	7	7

Characters and Unicode

	Training Data	Test Data
Total characters	5110938	2190593
Distinct characters	18	18
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Training Data	Test Data
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Training Data	Test Data
1st row	Self-employed	Employed
2nd row	Employed	Employed
3rd row	Employed	Employed
4th row	Employed	Employed
5th row	Employed	Employed

Common Values

Value	Count	Frequency (%)
Employed	450645	75.9%
Unemployed	62485	10.5%
Self-employed	52480	8.8%
Retired	16453	2.8%
Student	11931	2.0%

Value	Count	Frequency (%)
Employed	193207	75.9%
Unemployed	26715	10.5%
Self-employed	22543	8.9%
Retired	7060	2.8%
Student	5044	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Training Data

Test Data

Value	Count	Frequency (%)
employed	450645	75.9%
unemployed	62485	10.5%
self-employed	52480	8.8%
retired	16453	2.8%
student	11931	2.0%

Value	Count	Frequency (%)
employed	193207	75.9%
unemployed	26715	10.5%
self-employed	22543	8.9%
retired	7060	2.8%
student	5044	2.0%

Most occurring characters

Value	Count	Frequency (%)
e	777892	15.2%
l	618090	12.1%
d	593994	11.6%
m	565610	11.1%
y	565610	11.1%
p	565610	11.1%
o	565610	11.1%
E	450645	8.8%
n	74416	1.5%
S	64411	1.3%
Other values (8)	269050	5.3%

Value	Count	Frequency (%)
e	333430	15.2%
l	265008	12.1%
d	254569	11.6%
m	242465	11.1%
y	242465	11.1%
p	242465	11.1%
o	242465	11.1%
E	193207	8.8%
n	31759	1.4%
S	27587	1.3%
Other values (8)	115173	5.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5110938	100.0%

Value	Count	Frequency (%)
(unknown)	2190593	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	777892	15.2%
l	618090	12.1%
d	593994	11.6%
m	565610	11.1%
y	565610	11.1%
p	565610	11.1%
o	565610	11.1%
E	450645	8.8%
n	74416	1.5%
S	64411	1.3%
Other values (8)	269050	5.3%

Value	Count	Frequency (%)
e	333430	15.2%
l	265008	12.1%
d	254569	11.6%
m	242465	11.1%
y	242465	11.1%
p	242465	11.1%
o	242465	11.1%
E	193207	8.8%
n	31759	1.4%
S	27587	1.3%
Other values (8)	115173	5.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5110938	100.0%

Value	Count	Frequency (%)
(unknown)	2190593	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	777892	15.2%
l	618090	12.1%
d	593994	11.6%
m	565610	11.1%
y	565610	11.1%
p	565610	11.1%
o	565610	11.1%
E	450645	8.8%
n	74416	1.5%
S	64411	1.3%
Other values (8)	269050	5.3%

Value	Count	Frequency (%)
e	333430	15.2%
l	265008	12.1%
d	254569	11.6%
m	242465	11.1%
y	242465	11.1%
p	242465	11.1%
o	242465	11.1%
E	193207	8.8%
n	31759	1.4%
S	27587	1.3%
Other values (8)	115173	5.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5110938	100.0%

Value	Count	Frequency (%)
(unknown)	2190593	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	777892	15.2%
l	618090	12.1%
d	593994	11.6%
m	565610	11.1%
y	565610	11.1%
p	565610	11.1%
o	565610	11.1%
E	450645	8.8%
n	74416	1.5%
S	64411	1.3%
Other values (8)	269050	5.3%

Value	Count	Frequency (%)
e	333430	15.2%
l	265008	12.1%
d	254569	11.6%
m	242465	11.1%
y	242465	11.1%
p	242465	11.1%
o	242465	11.1%
E	193207	8.8%
n	31759	1.4%
S	27587	1.3%
Other values (8)	115173	5.3%

loan_purpose
Categorical

	Training Data	Test Data
Distinct	8	8
Distinct (%)	< 0.1%	< 0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	4.5 MiB	1.9 MiB

Debt consolidation	324695
Other	63874
Car	58108
Home	44118
Education	36641
Other values (3)	66558

Debt consolidation	138963
Other	27715
Car	24889
Home	18984
Education	15719
Other values (3)	28299

Length

	Training Data	Test Data
Max length	18	18
Median length	18	18
Mean length	12.38077	12.368973
Min length	3	3

Characters and Unicode

	Training Data	Test Data
Total characters	7354103	3148757
Distinct characters	24	24
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Training Data	Test Data
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Training Data	Test Data
1st row	Other	Other
2nd row	Debt consolidation	Other
3rd row	Debt consolidation	Debt consolidation
4th row	Debt consolidation	Debt consolidation
5th row	Other	Business

Common Values

Value	Count	Frequency (%)
Debt consolidation	324695	54.7%
Other	63874	10.8%
Car	58108	9.8%
Home	44118	7.4%
Education	36641	6.2%
Business	35303	5.9%
Medical	22806	3.8%
Vacation	8449	1.4%

Value	Count	Frequency (%)
Debt consolidation	138963	54.6%
Other	27715	10.9%
Car	24889	9.8%
Home	18984	7.5%
Education	15719	6.2%
Business	15076	5.9%
Medical	9618	3.8%
Vacation	3605	1.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Training Data

Test Data

Value	Count	Frequency (%)
debt	324695	35.3%
consolidation	324695	35.3%
other	63874	7.0%
car	58108	6.3%
home	44118	4.8%
education	36641	4.0%
business	35303	3.8%
medical	22806	2.5%
vacation	8449	0.9%

Value	Count	Frequency (%)
debt	138963	35.3%
consolidation	138963	35.3%
other	27715	7.0%
car	24889	6.3%
home	18984	4.8%
education	15719	4.0%
business	15076	3.8%
medical	9618	2.4%
vacation	3605	0.9%

Most occurring characters

Value	Count	Frequency (%)
o	1063293	14.5%
t	758354	10.3%
i	752589	10.2%
n	729783	9.9%
e	490796	6.7%
a	459148	6.2%
s	430604	5.9%
c	392591	5.3%
d	384142	5.2%
l	347501	4.7%
Other values (14)	1545302	21.0%

Value	Count	Frequency (%)
o	455197	14.5%
t	324965	10.3%
i	321944	10.2%
n	312326	9.9%
e	210356	6.7%
a	196399	6.2%
s	184191	5.8%
c	167905	5.3%
d	164300	5.2%
l	148581	4.7%
Other values (14)	662593	21.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7354103	100.0%

Value	Count	Frequency (%)
(unknown)	3148757	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	1063293	14.5%
t	758354	10.3%
i	752589	10.2%
n	729783	9.9%
e	490796	6.7%
a	459148	6.2%
s	430604	5.9%
c	392591	5.3%
d	384142	5.2%
l	347501	4.7%
Other values (14)	1545302	21.0%

Value	Count	Frequency (%)
o	455197	14.5%
t	324965	10.3%
i	321944	10.2%
n	312326	9.9%
e	210356	6.7%
a	196399	6.2%
s	184191	5.8%
c	167905	5.3%
d	164300	5.2%
l	148581	4.7%
Other values (14)	662593	21.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7354103	100.0%

Value	Count	Frequency (%)
(unknown)	3148757	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	1063293	14.5%
t	758354	10.3%
i	752589	10.2%
n	729783	9.9%
e	490796	6.7%
a	459148	6.2%
s	430604	5.9%
c	392591	5.3%
d	384142	5.2%
l	347501	4.7%
Other values (14)	1545302	21.0%

Value	Count	Frequency (%)
o	455197	14.5%
t	324965	10.3%
i	321944	10.2%
n	312326	9.9%
e	210356	6.7%
a	196399	6.2%
s	184191	5.8%
c	167905	5.3%
d	164300	5.2%
l	148581	4.7%
Other values (14)	662593	21.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7354103	100.0%

Value	Count	Frequency (%)
(unknown)	3148757	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	1063293	14.5%
t	758354	10.3%
i	752589	10.2%
n	729783	9.9%
e	490796	6.7%
a	459148	6.2%
s	430604	5.9%
c	392591	5.3%
d	384142	5.2%
l	347501	4.7%
Other values (14)	1545302	21.0%

Value	Count	Frequency (%)
o	455197	14.5%
t	324965	10.3%
i	321944	10.2%
n	312326	9.9%
e	210356	6.7%
a	196399	6.2%
s	184191	5.8%
c	167905	5.3%
d	164300	5.2%
l	148581	4.7%
Other values (14)	662593	21.0%

grade_subgrade
Categorical

	Training Data	Test Data
Distinct	30	30
Distinct (%)	< 0.1%	< 0.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	4.5 MiB	1.9 MiB

C3	58695
C4	55957
C2	54443
C1	53363
C5	53317
Other values (25)	318219

C3	25410
C4	23712
C2	23334
C1	22814
C5	22777
Other values (25)	136522

Length

	Training Data	Test Data
Max length	2	2
Median length	2	2
Mean length	2	2
Min length	2	2

Characters and Unicode

	Training Data	Test Data
Total characters	1187988	509138
Distinct characters	11	11
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Training Data	Test Data
Unique	0	0 ?
Unique (%)	0.0%	0.0%

Sample

	Training Data	Test Data
1st row	C3	D5
2nd row	D3	C1
3rd row	C5	D1
4th row	F1	C3
5th row	D1	C1

Common Values

Value	Count	Frequency (%)
C3	58695	9.9%
C4	55957	9.4%
C2	54443	9.2%
C1	53363	9.0%
C5	53317	9.0%
D1	37029	6.2%
D3	36694	6.2%
D4	35097	5.9%
D2	34432	5.8%
D5	32101	5.4%
Other values (20)	142866	24.1%

Value	Count	Frequency (%)
C3	25410	10.0%
C4	23712	9.3%
C2	23334	9.2%
C1	22814	9.0%
C5	22777	8.9%
D1	15721	6.2%
D3	15639	6.1%
D4	14990	5.9%
D2	14773	5.8%
D5	13923	5.5%
Other values (20)	61476	24.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Training Data

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Test Data

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
c3	58695	9.9%
c4	55957	9.4%
c2	54443	9.2%
c1	53363	9.0%
c5	53317	9.0%
d1	37029	6.2%
d3	36694	6.2%
d4	35097	5.9%
d2	34432	5.8%
d5	32101	5.4%
Other values (20)	142866	24.1%

Value	Count	Frequency (%)
c3	25410	10.0%
c4	23712	9.3%
c2	23334	9.2%
c1	22814	9.0%
c5	22777	8.9%
d1	15721	6.2%
d3	15639	6.1%
d4	14990	5.9%
d2	14773	5.8%
d5	13923	5.5%
Other values (20)	61476	24.1%

Most occurring characters

Value	Count	Frequency (%)
C	275775	23.2%
D	175353	14.8%
3	123538	10.4%
4	120203	10.1%
1	118761	10.0%
2	117635	9.9%
5	113857	9.6%
B	71251	6.0%
E	34458	2.9%
F	27301	2.3%

Value	Count	Frequency (%)
C	118047	23.2%
D	75046	14.7%
3	53262	10.5%
4	51283	10.1%
2	50597	9.9%
1	50535	9.9%
5	48892	9.6%
B	30748	6.0%
E	14703	2.9%
F	11751	2.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1187988	100.0%

Value	Count	Frequency (%)
(unknown)	509138	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
C	275775	23.2%
D	175353	14.8%
3	123538	10.4%
4	120203	10.1%
1	118761	10.0%
2	117635	9.9%
5	113857	9.6%
B	71251	6.0%
E	34458	2.9%
F	27301	2.3%

Value	Count	Frequency (%)
C	118047	23.2%
D	75046	14.7%
3	53262	10.5%
4	51283	10.1%
2	50597	9.9%
1	50535	9.9%
5	48892	9.6%
B	30748	6.0%
E	14703	2.9%
F	11751	2.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1187988	100.0%

Value	Count	Frequency (%)
(unknown)	509138	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
C	275775	23.2%
D	175353	14.8%
3	123538	10.4%
4	120203	10.1%
1	118761	10.0%
2	117635	9.9%
5	113857	9.6%
B	71251	6.0%
E	34458	2.9%
F	27301	2.3%

Value	Count	Frequency (%)
C	118047	23.2%
D	75046	14.7%
3	53262	10.5%
4	51283	10.1%
2	50597	9.9%
1	50535	9.9%
5	48892	9.6%
B	30748	6.0%
E	14703	2.9%
F	11751	2.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1187988	100.0%

Value	Count	Frequency (%)
(unknown)	509138	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
C	275775	23.2%
D	175353	14.8%
3	123538	10.4%
4	120203	10.1%
1	118761	10.0%
2	117635	9.9%
5	113857	9.6%
B	71251	6.0%
E	34458	2.9%
F	27301	2.3%

Value	Count	Frequency (%)
C	118047	23.2%
D	75046	14.7%
3	53262	10.5%
4	51283	10.1%
2	50597	9.9%
1	50535	9.9%
5	48892	9.6%
B	30748	6.0%
E	14703	2.9%
F	11751	2.3%

loan_paid_back
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.5 MiB

1.0	474494
0.0	119500

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1781982
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	474494	79.9%
0.0	119500	20.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
1.0	474494	79.9%
0.0	119500	20.1%

Most occurring characters

Value	Count	Frequency (%)
0	713494	40.0%
.	593994	33.3%
1	474494	26.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1781982	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	713494	40.0%
.	593994	33.3%
1	474494	26.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1781982	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	713494	40.0%
.	593994	33.3%
1	474494	26.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1781982	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	713494	40.0%
.	593994	33.3%
1	474494	26.6%

Interactions

Training Data

Test Data

Training Data

Test Data

Training Data

Test Data

Training Data

Test Data

Training Data

Test Data

Training Data

Test Data

Training Data

Test Data

Training Data

Test Data

Training Data

Test Data

Training Data

Test Data

Training Data

Test Data

Training Data

Test Data

Training Data

Test Data

Training Data

Test Data

Training Data

Test Data

Training Data

Test Data

Training Data

Test Data

Training Data

Test Data

Training Data

Test Data

Training Data

Test Data

Training Data

Test Data

Training Data

Test Data

Training Data

Test Data

Training Data

Test Data

Training Data

Test Data

Correlations

Training Data

Test Data

Training Data

	annual_income	credit_score	debt_to_income_ratio	education_level	employment_status	gender	grade_subgrade	interest_rate	loan_amount	loan_paid_back	loan_purpose	marital_status
annual_income	1.000	0.004	0.005	0.008	0.009	0.004	0.007	-0.003	-0.009	0.020	0.007	0.010
credit_score	0.004	1.000	-0.060	0.007	0.051	0.008	0.638	-0.517	-0.008	0.232	0.008	0.011
debt_to_income_ratio	0.005	-0.060	1.000	0.006	0.088	0.004	0.024	0.026	-0.012	0.334	0.006	0.004
education_level	0.008	0.007	0.006	1.000	0.012	0.004	0.013	0.008	0.005	0.025	0.011	0.008
employment_status	0.009	0.051	0.088	0.012	1.000	0.003	0.052	0.025	0.010	0.657	0.015	0.006
gender	0.004	0.008	0.004	0.004	0.003	1.000	0.009	0.004	0.010	0.007	0.007	0.002
grade_subgrade	0.007	0.638	0.024	0.013	0.052	0.009	1.000	0.192	0.013	0.228	0.008	0.013
interest_rate	-0.003	-0.517	0.026	0.008	0.025	0.004	0.192	1.000	-0.001	0.129	0.006	0.006
loan_amount	-0.009	-0.008	-0.012	0.005	0.010	0.010	0.013	-0.001	1.000	0.013	0.008	0.008
loan_paid_back	0.020	0.232	0.334	0.025	0.657	0.007	0.228	0.129	0.013	1.000	0.025	0.001
loan_purpose	0.007	0.008	0.006	0.011	0.015	0.007	0.008	0.006	0.008	0.025	1.000	0.010
marital_status	0.010	0.011	0.004	0.008	0.006	0.002	0.013	0.006	0.008	0.001	0.010	1.000

Test Data

	annual_income	credit_score	debt_to_income_ratio	education_level	employment_status	gender	grade_subgrade	interest_rate	loan_amount	loan_purpose	marital_status
annual_income	1.000	0.005	-0.000	0.010	0.010	0.000	0.008	-0.006	-0.005	0.007	0.010
credit_score	0.005	1.000	-0.061	0.008	0.053	0.007	0.639	-0.517	-0.010	0.008	0.012
debt_to_income_ratio	-0.000	-0.061	1.000	0.008	0.087	0.007	0.024	0.027	-0.013	0.006	0.005
education_level	0.010	0.008	0.008	1.000	0.012	0.001	0.011	0.006	0.008	0.011	0.007
employment_status	0.010	0.053	0.087	0.012	1.000	0.005	0.053	0.025	0.008	0.014	0.004
gender	0.000	0.007	0.007	0.001	0.005	1.000	0.008	0.004	0.008	0.003	0.002
grade_subgrade	0.008	0.639	0.024	0.011	0.053	0.008	1.000	0.193	0.013	0.007	0.015
interest_rate	-0.006	-0.517	0.027	0.006	0.025	0.004	0.193	1.000	-0.000	0.005	0.006
loan_amount	-0.005	-0.010	-0.013	0.008	0.008	0.008	0.013	-0.000	1.000	0.008	0.012
loan_purpose	0.007	0.008	0.006	0.011	0.014	0.003	0.007	0.005	0.008	1.000	0.009
marital_status	0.010	0.012	0.005	0.007	0.004	0.002	0.015	0.006	0.012	0.009	1.000

Missing values

Training Data

A simple visualization of nullity by column.

Test Data

A simple visualization of nullity by column.

Training Data

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Test Data

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Training Data

	annual_income	debt_to_income_ratio	credit_score	loan_amount	interest_rate	gender	marital_status	education_level	employment_status	loan_purpose	grade_subgrade	loan_paid_back
0	29,367.990	0.084	736	2,528.420	13.670	Female	Single	High School	Self-employed	Other	C3	1.000
1	22,108.020	0.166	636	4,593.100	12.920	Male	Married	Master's	Employed	Debt consolidation	D3	0.000
2	49,566.200	0.097	694	17,005.150	9.760	Male	Single	High School	Employed	Debt consolidation	C5	1.000
3	46,858.250	0.065	533	4,682.480	16.100	Female	Single	High School	Employed	Debt consolidation	F1	1.000
4	25,496.700	0.053	665	12,184.430	10.210	Male	Married	High School	Employed	Other	D1	1.000
5	44,940.300	0.058	653	12,159.920	12.240	Male	Single	Bachelor's	Employed	Other	D1	1.000
6	61,574.160	0.042	696	16,907.710	13.520	Other	Single	High School	Self-employed	Debt consolidation	C5	1.000
7	45,953.310	0.100	654	10,111.620	12.820	Female	Married	High School	Employed	Home	D1	1.000
8	30,592.290	0.132	713	7,522.360	9.480	Male	Married	Bachelor's	Employed	Education	C5	1.000
9	17,342.450	0.121	548	9,653.480	16.040	Female	Married	Bachelor's	Self-employed	Vacation	F1	1.000

Test Data

	annual_income	debt_to_income_ratio	credit_score	loan_amount	interest_rate	gender	marital_status	education_level	employment_status	loan_purpose	grade_subgrade
0	28,781.050	0.049	626	11,461.420	14.730	Female	Single	High School	Employed	Other	D5
1	46,626.390	0.093	732	15,492.250	12.850	Female	Married	Master's	Employed	Other	C1
2	54,954.890	0.367	611	3,796.410	13.290	Male	Single	Bachelor's	Employed	Debt consolidation	D1
3	25,644.630	0.110	671	6,574.300	9.570	Female	Single	Bachelor's	Employed	Debt consolidation	C3
4	25,169.640	0.081	688	17,696.890	12.800	Female	Married	PhD	Employed	Business	C1
5	45,302.900	0.060	675	8,106.780	13.740	Female	Married	High School	Employed	Vacation	C3
6	27,676.470	0.061	714	8,242.260	13.870	Female	Single	High School	Employed	Debt consolidation	C4
7	38,216.910	0.095	719	3,765.500	15.100	Male	Single	High School	Employed	Other	C5
8	25,650.590	0.101	664	20,310.640	11.740	Male	Single	High School	Employed	Education	D4
9	62,497.030	0.207	651	5,177.580	13.900	Female	Divorced	High School	Unemployed	Car	D2

Training Data

	annual_income	debt_to_income_ratio	credit_score	loan_amount	interest_rate	gender	marital_status	education_level	employment_status	loan_purpose	grade_subgrade	loan_paid_back
593984	36,169.340	0.091	676	9,986.830	14.180	Female	Married	Bachelor's	Retired	Debt consolidation	C3	1.000
593985	37,188.430	0.170	718	17,056.520	10.470	Female	Married	Bachelor's	Employed	Home	C3	1.000
593986	25,015.350	0.074	633	15,922.610	13.910	Male	Married	Bachelor's	Employed	Debt consolidation	D2	0.000
593987	17,662.680	0.074	679	19,792.920	15.480	Female	Single	Other	Employed	Debt consolidation	C3	1.000
593988	15,602.220	0.056	622	25,706.470	15.750	Female	Married	High School	Employed	Debt consolidation	D2	1.000
593989	23,004.260	0.152	703	20,958.370	10.920	Female	Single	High School	Employed	Business	C3	1.000
593990	35,289.430	0.105	559	3,257.240	14.620	Male	Single	Bachelor's	Employed	Debt consolidation	F5	1.000
593991	47,112.640	0.072	675	929.270	14.130	Female	Married	Bachelor's	Employed	Debt consolidation	C1	1.000
593992	76,748.440	0.067	740	16,290.400	9.870	Male	Single	Bachelor's	Employed	Debt consolidation	B2	1.000
593993	48,959.520	0.096	752	7,707.730	10.310	Male	Married	High School	Employed	Education	B3	1.000

Test Data

	annual_income	debt_to_income_ratio	credit_score	loan_amount	interest_rate	gender	marital_status	education_level	employment_status	loan_purpose	grade_subgrade
254559	30,351.940	0.061	683	17,247.500	12.310	Male	Married	High School	Employed	Debt consolidation	C3
254560	29,792.120	0.111	648	23,495.020	14.630	Male	Married	High School	Employed	Debt consolidation	D1
254561	24,451.560	0.086	752	28,920.260	8.540	Female	Married	Bachelor's	Employed	Business	B3
254562	35,388.910	0.169	661	27,300.010	11.930	Female	Married	High School	Employed	Debt consolidation	D4
254563	17,349.850	0.097	704	12,596.910	11.960	Female	Single	Bachelor's	Employed	Debt consolidation	C4
254564	92,835.970	0.068	744	29,704.000	13.480	Female	Single	Bachelor's	Employed	Debt consolidation	B2
254565	48,846.470	0.091	634	20,284.330	9.580	Female	Married	High School	Employed	Debt consolidation	D4
254566	20,668.520	0.096	718	26,387.550	9.000	Male	Single	Master's	Employed	Debt consolidation	C4
254567	34,105.090	0.094	739	11,107.360	9.810	Male	Single	Bachelor's	Employed	Business	C2
254568	45,627.530	0.118	624	19,246.140	11.640	Female	Married	High School	Employed	Car	D3

Duplicate rows

Training Data

	annual_income	debt_to_income_ratio	credit_score	loan_amount	interest_rate	gender	marital_status	education_level	employment_status	loan_purpose	grade_subgrade	loan_paid_back	# duplicates
Dataset does not contain duplicate rows.

Test Data

	annual_income	debt_to_income_ratio	credit_score	loan_amount	interest_rate	gender	marital_status	education_level	employment_status	loan_purpose	grade_subgrade	# duplicates
Dataset does not contain duplicate rows.

Overview

Variables

Common Values

Length

Common Values (Plot)

Training Data

Test Data

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Training Data

Test Data

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Training Data

Test Data

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Training Data

Test Data

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Training Data

Test Data

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)